ArticleBMC genomics2016
ChlamyNET: a Chlamydomonas gene co-expression network reveals global properties of the transcriptome and the early setup of key co-expression patterns in the green lineage.
Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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21 citing papers in PubMed, 43 citations in OpenAlex.
- Integrating co-expression network analysis and machine learning to reveal the regulatory landscape ofPeerJ · 2026Article
- Regulatory network rewiring drives strain-specific lipid accumulation response in Chlorella sorokiniana under nutrient starvation.The Plant journal : for cell and molecular biology · 2026Article
- GATA family transcription factors in alga Chlamydomonas reinhardtii.Current genetics · 2024Article
- Harnessing genetic engineering to drive economic bioproduct production in algae.Frontiers in bioengineering and biotechnology · 2024Review
- Identification and preliminary characterization of conserved uncharacterized proteins fromPlant direct · 2023Article
- High-throughput identification of novel heat tolerance genes via genome-wide pooled mutant screens in the model green alga Chlamydomonas reinhardtii.Plant, cell & environment · 2023Article
- ALGAEFUN with MARACAS, microALGAE FUNctional enrichment tool for MicroAlgae RnA-seq and Chip-seq AnalysiS.BMC bioinformatics · 2022Article
- Transcription Factor-Based Genetic Engineering in Microalgae.Plants (Basel, Switzerland) · 2021Review
- Co-expression networks in Chlamydomonas reveal significant rhythmicity in batch cultures and empower gene function discovery.The Plant cell · 2021Article
- TeaCoN: a database of gene co-expression network for tea plant (Camellia sinensis).BMC genomics · 2020Article
- Chlamydomonas CHT7 Is Required for an Effective Quiescent State by Regulating Nutrient-Responsive Cell Cycle Gene Expression.The Plant cell · 2020Article
- A predicted protein functional network aids in novel gene mining for characteristic secondary metabolites in tea plantJournal of biosciences · 2020Article
- Lipid remodeling regulator 1 (LRL1) is differently involved in the phosphorus-depletion response from PSR1 in Chlamydomonas reinhardtii.The Plant journal : for cell and molecular biology · 2019Article
- Review
- Genome-wide identification and characterization of CKIN/SnRK gene family in Chlamydomonas reinhardtii.Scientific reports · 2019Article
- Nitrogen-dependent coordination of cell cycle, quiescence and TAG accumulation in Chlamydomonas.Biotechnology for biofuels · 2019Review
- The Ancient Phosphatidylinositol 3-Kinase Signaling System Is a Master Regulator of Energy and Carbon Metabolism in Algae.Plant physiology · 2018Article
- Towards a Dynamic Interaction Network of Life to unify and expand the evolutionary theory.BMC biology · 2018Review
- Integrative Transcriptomic Analysis Uncovers Novel Gene Modules That Underlie the Sulfate Response inFrontiers in plant science · 2018Article
- Evolution of Daily Gene Co-expression Patterns from Algae to Plants.Frontiers in plant science · 2017Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundChlamydomonas reinhardtii is the model organism that serves as a reference for studies in algal genomics and physiology. It is of special interest in the study of the evolution of regulatory pathways from algae to higher plants. Additionally, it has recently gained attention as a potential source for bio-fuel and bio-hydrogen production. The genome of Chlamydomonas is available, facilitating the analysis of its transcriptome by RNA-seq data. This has produced a massive amount of data that remains fragmented making necessary the application of integrative approaches based on molecular systems biology.
resultsWe constructed a gene co-expression network based on RNA-seq data and developed a web-based tool, ChlamyNET, for the exploration of the Chlamydomonas transcriptome. ChlamyNET exhibits a scale-free and small world topology. Applying clustering techniques, we identified nine gene clusters that capture the structure of the transcriptome under the analyzed conditions. One of the most central clusters was shown to be involved in carbon/nitrogen metabolism and signalling, whereas one of the most peripheral clusters was involved in DNA replication and cell cycle regulation. The transcription factors and regulators in the Chlamydomonas genome have been identified in ChlamyNET. The biological processes potentially regulated by them as well as their putative transcription factor binding sites were determined. The putative light regulated transcription factors and regulators in the Chlamydomonas genome were analyzed in order to provide a case study on the use of ChlamyNET. Finally, we used an independent data set to cross-validate the predictive power of ChlamyNET.
conclusionsThe topological properties of ChlamyNET suggest that the Chlamydomonas transcriptome posseses important characteristics related to error tolerance, vulnerability and information propagation. The central part of ChlamyNET constitutes the core of the transcriptome where most authoritative hub genes are located interconnecting key biological processes such as light response with carbon and nitrogen metabolism. Our study reveals that key elements in the regulation of carbon and nitrogen metabolism, light response and cell cycle identified in higher plants were already established in Chlamydomonas. These conserved elements are not only limited to transcription factors, regulators and their targets, but also include the cis-regulatory elements recognized by them.
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